Imperialist competitive algorithm combined with refined high-order weighted fuzzy time series (RHWFTS-ICA) for short term load forecasting

Energy Conversion and Management

Volumn 76, Issue , 2013, Pages 1104-1116

  Enayatifar, Rasul ^a   Sadaei, Hossein Javedani ^a   Abdullah, Abdul Hanan ^a   Gani, Abdullah ^b  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Forecast adjusting; Imperialist competitive algorithm; Short term load forecasting; Weighted fuzzy time series

Indexed keywords

AUTOCORRELATION ANALYSIS; FORECASTING MODELS; FUZZY LOGICAL RELATIONSHIPS; IMPERIALIST COMPETITIVE ALGORITHMS; NUMERICAL RESULTS; OPTIMAL COEFFICIENT; SHORT TERM LOAD FORECASTING; WEIGHTED FUZZY TIME SERIES;

ELECTRIC LOAD FORECASTING; FORECASTING; FUZZY SETS; OPTIMIZATION; TIME SERIES;

ALGORITHMS;

EID: 84885159652     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2013.08.039     Document Type: Article

References (61)

1. J. Wu, J. Wang, H. Lu, Y. Dong, and X. Lu Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model Energy Conv Manage 70 2013 1 9
2. C.-T. Lin, and L.-D. Chou A novel economy reflecting short-term load forecasting approach Energy Conv Manage 65 2013 331 342
3. F.M. Andersen, H.V. Larsen, and T.K. Boomsma Long-term forecasting of hourly electricity load: identification of consumption profiles and segmentation of customers Energy Conv Manage 68 2013 244 252
4. H. Su Chaos quantum-behaved particle swarm optimization based neural networks for short-term load forecasting Procedia Eng 15 2011 199 203
5. C. Xia, J. Wang, and K. McMenemy Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks Int J Electr Power Energy Syst 32 2010 743 750
6. C.-N. Ko, and C.-M. Lee Short-term load forecasting using SVR (support vector regression)-based radial basis function neural network with dual extended Kalman filter Energy 49 2013 413 422
7. W.-C. Hong Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm Energy 36 2011 5568 5578
8. W.-C. Hong Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model Energy Conv Manage 50 2009 105 117
9. T. Yalcinoz, and U. Eminoglu Short term and medium term power distribution load forecasting by neural networks Energy Conv Manage 46 2005 1393 1405 (Pubitemid 40415114)
10. N. Kandil, R. Wamkeue, M. Saad, and S. Georges An efficient approach for short term load forecasting using artificial neural networks Int J Electr Power Energy Syst 28 2006 525 530 (Pubitemid 44088425)
11. D. Srinivasan Evolving artificial neural networks for short term load forecasting Neurocomputing 23 1998 265 276 (Pubitemid 28558999)
12. K. Kalaitzakis, G.S. Stavrakakis, and E.M. Anagnostakis Short-term load forecasting based on artificial neural networks parallel implementation Electr Power Syst Res 63 2002 185 196 (Pubitemid 35214373)
13. Z.S.H. Chan, H.W. Ngan, A.B. Rad, A.K. David, and N. Kasabov Short-term ANN load forecasting from limited data using generalization learning strategies Neurocomputing 70 2006 409 419 (Pubitemid 44615802)
14. A. Badri, Z. Ameli, and A.M. Birjandi Application of artificial neural networks and fuzzy logic methods for short term load forecasting Energy Procedia 14 2012 1883 1888
15. D.K. Ranaweera, N.F. Hubele, and G.G. Karady Fuzzy logic for short term load forecasting Int J Electr Power Energy Syst 18 1996 215 222 (Pubitemid 126358344)
16. A.H. Abdullah, R. Enayatifar, and M. Lee A hybrid genetic algorithm and chaotic function model for image encryption AEU - Int J Electron Commun 66 2012 806 816
17. R. Enayatifar, A.H. Abdullah, and M. Lee A weighted discrete imperialist competitive algorithm (WDICA) combined with chaotic map for image encryption Opt Lasers Eng 51 2013 1066 1077
18. R. Enayatifar, M. Yousefi, A.H. Abdullah, and A.N. Darus MOICA: a novel multi-objective approach based on imperialist competitive algorithm Appl Math Comput 219 2013 8829 8841
19. N.C. Sahoo, S. Ganguly, and D. Das Multi-objective planning of electrical distribution systems incorporating sectionalizing switches and tie-lines using particle swarm optimization Swarm Evol Comput 3 2012 15 32
20. Z. Wan, G. Wang, and B. Sun A hybrid intelligent algorithm by combining particle swarm optimization with chaos searching technique for solving nonlinear bilevel programming problems Swarm Evol Comput 8 2013 26 32
21. L.D. Afonso, V.C. Mariani, and L. dos Santos Coelho Modified imperialist competitive algorithm based on attraction and repulsion concepts for reliability-redundancy optimization Exp Syst Appl 40 2013 3794 3802
22. S. Talatahari, B. Farahmand Azar, R. Sheikholeslami, and A.H. Gandomi Imperialist competitive algorithm combined with chaos for global optimization Commun Nonlin Sci Numer Simul 17 2012 1312 1319
23. C.A. Georgopoulou, and K.C. Giannakoglou Metamodel-assisted evolutionary algorithms for the unit commitment problem with probabilistic outages Appl Energy 87 2010 1782 1792
24. L. Carro-Calvo, S. Salcedo-Sanz, L. Prieto, N. Kirchner-Bossi, A. Portilla-Figueras, and S. Jiménez-Fernández Wind speed reconstruction from synoptic pressure patterns using an evolutionary algorithm Appl Energy 89 2012 347 354
25. M. Gitizadeh, A.A. Vahed, and J. Aghaei Multistage distribution system expansion planning considering distributed generation using hybrid evolutionary algorithms Appl Energy 101 2013 655 666
26. A. Hadidi, M. Hadidi, and A. Nazari A new design approach for shell-and-tube heat exchangers using imperialist competitive algorithm (ICA) from economic point of view Energy Conv Manage 67 2013 66 74
27. C. Lucas, Z. Nasiri-Gheidari, and F. Tootoonchian Application of an imperialist competitive algorithm to the design of a linear induction motor Energy Conv Manage 51 2010 1407 1411
28. R. Enayatifar, M. Yousefi, A.H. Abdullah, and A.N. Darus LAHS: a novel harmony search algorithm based on learning automata Commun Nonlin Sci Numer Simul 18 2013 3481 3497
29. M.S. KIran, E. Özceylan, M. Gündüz, and T. Paksoy A novel hybrid approach based on Particle Swarm Optimization and Ant Colony Algorithm to forecast energy demand of Turkey Energy Conv Manage 53 2012 75 83
30. H. Chaitou, and P. Nika Exergetic optimization of a thermoacoustic engine using the particle swarm optimization method Energy Conv Manage 55 2012 71 80
31. T.P. Chang Wind energy assessment incorporating particle swarm optimization method Energy Conv Manage 52 2011 1630 1637
32. M.S. Ismail, M. Moghavvemi, and T.M.I. Mahlia Characterization of PV panel and global optimization of its model parameters using genetic algorithm Energy Conv Manage 73 2013 10 25
33. Y. Chen, H. Li, K. Jin, and Q. Song Wind farm layout optimization using genetic algorithm with different hub height wind turbines Energy Conv Manage 70 2013 56 65
34. M.R. AlRashidi, and K.M. El-Naggar Long term electric load forecasting based on particle swarm optimization Appl Energy 87 2010 320 326
35. Q. Wu A hybrid-forecasting model based on Gaussian support vector machine and chaotic particle swarm optimization Expert Syst Appl 37 2010 2388 2394
36. W.-C. Hong Application of chaotic ant swarm optimization in electric load forecasting Energy Pol 38 2010 5830 5839
37. Atashpaz-Gargari E, Lucas C. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition. In: IEEE Congress on Evolutionary Computation, Singapore; 2007. p. 4661-7. (Pubitemid 351372009)
38. B. Wang, N.-l. Tai, H.-q. Zhai, J. Ye, J.-d. Zhu, and L.-b. Qi A new ARMAX model based on evolutionary algorithm and particle swarm optimization for short-term load forecasting Electr Power Syst Res 78 2008 1679 1685
39. N.-Y. Wang, and S.-M. Chen Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series Expert Syst Appl 36 2009 2143 2154
40. C.-H. Cheng, T.-L. Chen, H.-J. Teoh, and C.-H. Chiang Fuzzy time-series based on adaptive expectation model for TAIEX forecasting Expert Syst Appl 34 2008 1126 1132 (Pubitemid 350117482)
41. C.-H. Cheng, Y.-S. Chen, and Y.-L. Wu Forecasting innovation diffusion of products using trend-weighted fuzzy time-series model Expert Syst Appl 36 2009 1826 1832
42. M.-H. Lee, and H. Javedani A weighted fuzzy integrated time series for forecasting tourist arrivals Inform Eng Inform Sci 4 2011 206 217
43. M.H. Lee, H.J. Sadaei, and Suhartono Introducing polynomial fuzzy time series J Intell Fuzzy Syst 25 2013 117 128
44. Q. Song, and B.S. Chissom Forecasting Enrollments with Fuzzy Time-Series 1 Fuzzy Set Syst 54 1993 1 9
45. Q. Song, and B.S. Chissom Fuzzy time-series and its models Fuzzy Set Syst 54 1993 269 277
46. S.M. Chen Forecasting enrollments based on fuzzy time series Fuzzy Set Syst 81 1996 311 319
47. H.K. Yu Weighted fuzzy time series models for TAIEX forecasting Physica A 349 2005 609 624
48. K. Huarng Effective lengths of intervals to improve forecasting in fuzzy time series Fuzzy Sets Syst 123 2001 387 394 (Pubitemid 32780470)
49. S.-M. Chen, and N.-Y. Chung Forecasting enrollments using high-order fuzzy time series and genetic algorithms Int J Intell Syst 21 2006 485 501 (Pubitemid 43671874)
50. C.H. Aladag, M.A. Basaran, E. Egrioglu, U. Yolcu, and V.R. Uslu Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations Exp Syst Appl 36 2009 4228 4231
51. Q. Song, and B.S. Chissom Forecasting enrollments with fuzzy time-series 2 Fuzzy Set Syst 62 1994 1 8
52. L.A. Zadeh Fuzzy sets Inform Contr 8 1965 338 353
53. Q. Song Seasonal forecasting in fuzzy time series Fuzzy Sets Syst 107 1999 235 236 (Pubitemid 129525403)
54. S.M. Chen Forecasting enrollments based on high-order fuzzy time series Cybern Syst 33 2002 1 16
55. T.-L. Chen, C.-H. Cheng, and H. Jong Teoh Fuzzy time-series based on Fibonacci sequence for stock price forecasting Physica A 380 2007 377 390 (Pubitemid 46694222)
56. Z.H. Zhan, J. Zhang, Y. Li, and H.S.H. Shu-Hung Chung Adaptive particle swarm optimization IEEE Trans Syst Man Cybernetics Part B Cybernet 39 2009 1362 1381
57. Kennedy J, Eberhart R. Particle swarm optimization. In: International Conference on Neural Networks. IEEE; 1995, p. 1942-8.
58. J. Che, J. Wang, and Y. Tang Optimal training subset in a support vector regression electric load forecasting model Appl Soft Comput 2012
59. C.-M. Lee, and C.-N. Ko Short-term load forecasting using lifting scheme and ARIMA models Exp Syst Appl 38 2011 5902 5911
60. H. Chao-Ming, H. Chi-Jen, and W. Ming-Li A particle swarm optimization to identifying the ARMAX model for short-term load forecasting Power Syst IEEE Trans 20 2005 1126 1133
61. S. Siegel The Mann-Whitney U test Nonparamet Stat Behav Sci 1956 116 127